Uppsala University is a broad research university with a strong international position. The task is to conduct research and education of the highest quality and to cooperate in different ways with society. Our most important asset is all the individuals who, with their curiosity and commitment, make Uppsala University one of the country’s most exciting workplaces. Uppsala University has 40,000 students, 7,000 employees and a turnover of 6.5 billion.

The Department of Information Technology has about 280 employees and offers education and research of the highest international standard. About 4,000 students study here every year, and about 30 research groups are based here. Our strong focus on research has a major influence on the undergraduate education at the institution. The department builds on IT activities that took off already in the mid 60’s. At the department there are also UPPMAX (Uppsala Multidisciplinary Center for Advanced Computational Science), Uppsala University’s resource for high performance computers, large-scale storage and high-performance computing expertise. UPPMAX is one of six nodes within a national metacenter, the Swedish National Infrastructure for Computing (SNIC). For more information, see it.uu.se and www.

The Center for Image Analysis has a long tradition of theoretical and applied research and postgraduate education in digital imaging and scientific visualization. The focus is on image processing as such, but also on the development of better methods, algorithms and systems for applications in the fields of life sciences, medicine and digital humanities. For more information, see cb.uu.se .

Work assignments / Project description: The PhD student will work in a research project aimed at analyzing handwritten text documents using computation methods from computerized image analysis and linguistics. The aim is to develop techniques for analysis of manuscripts by developing automated tools for large-scale transcription, linguistic analysis and digital paleography and generic data extraction of historical manuscripts.

The doctoral candidate will focus on developing methods for semi-automatic transcription, where new methods will be developed to search and find words as well as transcription. The idea is to develop a useful tool that can be used by researchers in the digital humanities, but also for the public to contribute to the transcriptional work. This means that the latest technologies in machine learning, graphical user interfaces and human-computer interaction will be applied.

Qualification Requirements:

Qualifying to be employed as a PhD student is the one who holds a Master’s degree or Masters degree in Computer Science or related areas relevant to the research assignment. Good programming skills are a requirement, and the expertise in computerized imaging and machine learning is a prerequisite. The doctoral student service is multidisciplinary, and understanding of / interest in applications in the digital humanities is meritorious. Good communication skills in English, both oral and written, is a requirement.

Time limit: The doctoral student service is four years, but can be extended with teaching and institutional tasks (maximum 20%). The PhD program also includes participation in courses relevant to the field of research.

Application: The application must contain a letter describing itself and motivating why he or she seeks this service, relevant qualifications and research interests. The application must also contain a CV (CV), copies of relevant grades, a list of publications and thesis work as well as other documents (eg letter of recommendation and reference list). We also want to know the earliest possible start date.

Provisions for PhD students are found in the Higher Education Ordinance 5 ch §§1-7 and in the university’s rules and guidelines regler.uu.se .

Uppsala University values the qualities that even gender distribution and diversity add to the business. We therefore look forward to searching for all sexes and with different birth background, functionality and life experience.

Salary : According to local agreement (Local collective agreement for PhD students).